目录
[1. 环境要求](#1. 环境要求)
[2. 安装步骤](#2. 安装步骤)
[步骤 1:安装 Python](#步骤 1:安装 Python)
[步骤 2:创建虚拟环境(推荐)](#步骤 2:创建虚拟环境(推荐))
[步骤 3:安装 LangChain](#步骤 3:安装 LangChain)
[步骤 4:安装 LLM 提供商支持](#步骤 4:安装 LLM 提供商支持)
[步骤 5:安装可视化工具(可选)](#步骤 5:安装可视化工具(可选))
[步骤 6:验证安装](#步骤 6:验证安装)
[3. 配置开发环境](#3. 配置开发环境)
[Visual Studio Code 配置](#Visual Studio Code 配置)
[4. 常见问题解决](#4. 常见问题解决)
[问题 1:pip 安装速度慢](#问题 1:pip 安装速度慢)
[问题 2:权限错误](#问题 2:权限错误)
[问题 3:依赖冲突](#问题 3:依赖冲突)
[问题 4:C++ 编译错误(某些包需要)](#问题 4:C++ 编译错误(某些包需要))
[5. 快速测试示例](#5. 快速测试示例)
[6. 下一步](#6. 下一步)
1. 环境要求
系统要求
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Windows 10 或更高版本
-
Python 3.8 或更高版本
-
建议使用 Windows 11 以获得更好的开发体验
硬件建议
-
至少 8GB RAM(推荐 16GB+)
-
至少 10GB 可用磁盘空间
-
稳定的网络连接
2. 安装步骤
步骤 1:安装 Python
-
下载 Python
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访问 Python 官网
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下载 Python 3.9+ 版本(建议 3.10 或 3.11)
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选择 Windows installer (64-bit)
-
-
安装 Python
bash
# 安装时务必勾选以下选项:
- ✅ Add Python to PATH(重要!)
- ✅ Install launcher for all users
3.验证安装
bash
# 打开 PowerShell 或 CMD
python --version
# 应该显示 Python 3.x.x
pip --version
# 应该显示 pip 版本
步骤 2:创建虚拟环境(推荐)
- 使用 venv 创建虚拟环境
bash
# 创建项目目录
mkdir langchain-project
cd langchain-project
# 创建虚拟环境
python -m venv venv
# 激活虚拟环境
# PowerShell:
venv\Scripts\Activate.ps1
# 如果遇到执行策略问题,运行:
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
# CMD:
venv\Scripts\activate.bat
2. 验证虚拟环境
bash
# 激活后,命令行前应显示 (venv)
(venv) D:\langchain-project>
步骤 3:安装 LangChain
- 基础安装
bash
pip install langchain
2. 安装核心依赖(推荐)
bash
# 安装 LangChain 核心及相关工具
pip install langchain langchain-community
# 安装 OpenAI 集成(如果需要)
pip install openai
# 安装常用工具
pip install python-dotenv # 环境变量管理
pip install tiktoken # OpenAI token 计数
3. 安装向量数据库支持
bash
# 根据需求选择安装
pip install chromadb # 轻量级向量数据库
pip install faiss-cpu # Facebook AI 相似度搜索
pip install sentence-transformers # 本地 embedding
步骤 4:安装 LLM 提供商支持
根据你的需求选择安装:
bash
# OpenAI(最常用)
pip install openai
# Anthropic Claude
pip install anthropic
# Google Gemini
pip install google-generativeai
# 本地模型(需要 GPU)
pip install transformers torch torchvision torchaudio
# 安装 CUDA 版本(如果有 NVIDIA GPU)
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
步骤 5:安装可视化工具(可选)
bash
# LangSmith(用于追踪和调试)
pip install langsmith
# Streamlit(用于构建 Web 界面)
pip install streamlit
# Gradio(另一种 UI 框架)
pip install gradio
上述库包的实操记录:
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Downloading tqdm-4.67.1-py3-none-any.whl.metadata (57 kB)
Collecting typing-extensions<5,>=4.7 (from openai)
Using cached typing_extensions-4.15.0-py3-none-any.whl.metadata (3.3 kB)
Collecting idna>=2.8 (from anyio<5,>=3.5.0->openai)
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Collecting annotated-types>=0.6.0 (from pydantic<3,>=1.9.0->openai)
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Using cached typing_inspection-0.4.2-py3-none-any.whl.metadata (2.6 kB)
Collecting colorama (from tqdm>4->openai)
Downloading colorama-0.4.6-py2.py3-none-any.whl.metadata (17 kB)
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Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
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Downloading sniffio-1.3.1-py3-none-any.whl (10 kB)
Installing collected packages: typing-extensions, sniffio, idna, h11, distro, colorama, certifi, annotated-types, typing-inspection, tqdm, pydantic-core, httpcore, anyio, pydantic, httpx, openai
Successfully installed annotated-types-0.7.0 anyio-4.12.1 certifi-2026.1.4 colorama-0.4.6 distro-1.9.0 h11-0.16.0 httpcore-1.0.9 httpx-0.28.1 idna-3.11 openai-1.39.0 pydantic-2.12.5 pydantic-core-2.41.5 sniffio-1.3.1 tqdm-4.67.1 typing-extensions-4.15.0 typing-inspection-0.4.2
(venv) D:\MyProjects>
(venv) D:\MyProjects>
(venv) D:\MyProjects>
(venv) D:\MyProjects>
(venv) D:\MyProjects>pip install python-dotenv
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)")': /simple/python-dotenv/
Collecting python-dotenv
Using cached python_dotenv-1.2.1-py3-none-any.whl.metadata (25 kB)
Downloading python_dotenv-1.2.1-py3-none-any.whl (21 kB)
Installing collected packages: python-dotenv
Successfully installed python-dotenv-1.2.1
(venv) D:\MyProjects>pip install tiktoken
Collecting tiktoken
Downloading tiktoken-0.12.0-cp313-cp313-win_amd64.whl.metadata (6.9 kB)
Collecting regex>=2022.1.18 (from tiktoken)
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Collecting requests>=2.26.0 (from tiktoken)
Using cached requests-2.32.5-py3-none-any.whl.metadata (4.9 kB)
Collecting charset_normalizer<4,>=2 (from requests>=2.26.0->tiktoken)
Downloading charset_normalizer-3.4.4-cp313-cp313-win_amd64.whl.metadata (38 kB)
Requirement already satisfied: idna<4,>=2.5 in d:\myprojects\venv\lib\site-packages (from requests>=2.26.0->tiktoken) (3.11)
Collecting urllib3<3,>=1.21.1 (from requests>=2.26.0->tiktoken)
Downloading urllib3-2.6.3-py3-none-any.whl.metadata (6.9 kB)
Requirement already satisfied: certifi>=2017.4.17 in d:\myprojects\venv\lib\site-packages (from requests>=2.26.0->tiktoken) (2026.1.4)
Downloading tiktoken-0.12.0-cp313-cp313-win_amd64.whl (879 kB)
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Downloading urllib3-2.6.3-py3-none-any.whl (131 kB)
Installing collected packages: urllib3, regex, charset_normalizer, requests, tiktoken
Successfully installed charset_normalizer-3.4.4 regex-2026.1.15 requests-2.32.5 tiktoken-0.12.0 urllib3-2.6.3
(venv) D:\MyProjects>pip install chromadb
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x000001D1139B96A0>: Failed to establish a new connection: [WinError 10051] 向一个无法连接的网络尝试了一个套接字操作。')': /simple/chromadb/
WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x000001D113981F90>: Failed to establish a new connection: [Errno 11001] getaddrinfo failed')': /simple/chromadb/
WARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x000001D113982210>: Failed to establish a new connection: [Errno 11001] getaddrinfo failed')': /simple/chromadb/
WARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x000001D113982490>: Failed to establish a new connection: [Errno 11001] getaddrinfo failed')': /simple/chromadb/
WARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x000001D113982710>: Failed to establish a new connection: [Errno 11001] getaddrinfo failed')': /simple/chromadb/
ERROR: Could not find a version that satisfies the requirement chromadb (from versions: none)
ERROR: No matching distribution found for chromadb
(venv) D:\MyProjects>pip install sentence-transformers
Collecting sentence-transformers
Downloading sentence_transformers-5.2.2-py3-none-any.whl.metadata (16 kB)
Collecting transformers<6.0.0,>=4.41.0 (from sentence-transformers)
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Collecting huggingface-hub>=0.20.0 (from sentence-transformers)
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Collecting torch>=1.11.0 (from sentence-transformers)
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Collecting numpy (from sentence-transformers)
Downloading numpy-2.4.1-cp313-cp313-win_amd64.whl.metadata (6.6 kB)
Collecting scikit-learn (from sentence-transformers)
Downloading scikit_learn-1.8.0-cp313-cp313-win_amd64.whl.metadata (11 kB)
INFO: pip is looking at multiple versions of sentence-transformers to determine which version is compatible with other requirements. This could take a while.
Collecting sentence-transformers
Downloading sentence_transformers-5.2.1-py3-none-any.whl.metadata (16 kB)
Downloading sentence_transformers-5.2.0-py3-none-any.whl.metadata (16 kB)
Requirement already satisfied: tqdm in d:\myprojects\venv\lib\site-packages (from sentence-transformers) (4.67.1)
Downloading sentence_transformers-5.1.2-py3-none-any.whl.metadata (16 kB)
Collecting transformers<5.0.0,>=4.41.0 (from sentence-transformers)
Downloading transformers-4.57.6-py3-none-any.whl.metadata (43 kB)
Collecting sentence-transformers
Downloading sentence_transformers-5.1.1-py3-none-any.whl.metadata (16 kB)
Downloading sentence_transformers-5.1.0-py3-none-any.whl.metadata (16 kB)
Downloading sentence_transformers-5.0.0-py3-none-any.whl.metadata (16 kB)
Downloading sentence_transformers-4.1.0-py3-none-any.whl.metadata (13 kB)
INFO: pip is still looking at multiple versions of sentence-transformers to determine which version is compatible with other requirements. This could take a while.
Downloading sentence_transformers-4.0.2-py3-none-any.whl.metadata (13 kB)
Downloading sentence_transformers-4.0.1-py3-none-any.whl.metadata (13 kB)
Downloading sentence_transformers-4.0.0-py3-none-any.whl.metadata (13 kB)
Downloading sentence_transformers-3.4.1-py3-none-any.whl.metadata (10 kB)
Downloading sentence_transformers-3.4.0-py3-none-any.whl.metadata (10 kB)
INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.
Downloading sentence_transformers-3.3.1-py3-none-any.whl.metadata (10 kB)
Downloading sentence_transformers-3.3.0-py3-none-any.whl.metadata (10 kB)
Downloading sentence_transformers-3.2.1-py3-none-any.whl.metadata (10 kB)
Downloading sentence_transformers-3.2.0-py3-none-any.whl.metadata (10 kB)
Downloading sentence_transformers-3.1.1-py3-none-any.whl.metadata (10 kB)
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out. (read timeout=15)")': /packages/90/b4/52b8205f24172f2429cacf04bac324414f16b61d64e79c787c9ce2385586/sentence_transformers-3.1.0-py3-none-any.whl.metadata
WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x0000017622243250>: Failed to establish a new connection: [WinError 10051] 向一个无法连接的网络尝试了一个套接字操作。')': /packages/90/b4/52b8205f24172f2429cacf04bac324414f16b61d64e79c787c9ce2385586/sentence_transformers-3.1.0-py3-none-any.whl.metadata
WARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x0000017622240B90>: Failed to establish a new connection: [Errno 11001] getaddrinfo failed')': /packages/90/b4/52b8205f24172f2429cacf04bac324414f16b61d64e79c787c9ce2385586/sentence_transformers-3.1.0-py3-none-any.whl.metadata
Downloading sentence_transformers-3.1.0-py3-none-any.whl.metadata (23 kB)
Collecting numpy<2.0.0 (from sentence-transformers)
Downloading numpy-1.26.4.tar.gz (15.8 MB)
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WARNING: Connection timed out while downloading.
WARNING: Attempting to resume incomplete download (524 kB/15.8 MB, attempt 1)
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out. (read timeout=15)")': /packages/65/6e/09db70a523a96d25e115e71cc56a6f9031e7b8cd166c1ac8438307c14058/numpy-1.26.4.tar.gz
Resuming download numpy-1.26.4.tar.gz (524 kB/15.8 MB)
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ERROR: Exception:
Traceback (most recent call last):
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 438, in _error_catcher
yield
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 561, in read
data = self._fp_read(amt) if not fp_closed else b""
~~~~~~~~~~~~~^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 527, in _fp_read
return self._fp.read(amt) if amt is not None else self._fp.read()
~~~~~~~~~~~~~^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py", line 98, in read
data: bytes = self.__fp.read(amt)
~~~~~~~~~~~~~~^^^^^
File "C:\Users\jiangping\AppData\Local\Programs\Python\Python313\Lib\http\client.py", line 484, in read
s = self.fp.read(amt)
File "C:\Users\jiangping\AppData\Local\Programs\Python\Python313\Lib\socket.py", line 719, in readinto
return self._sock.recv_into(b)
~~~~~~~~~~~~~~~~~~~~^^^
File "C:\Users\jiangping\AppData\Local\Programs\Python\Python313\Lib\ssl.py", line 1304, in recv_into
return self.read(nbytes, buffer)
~~~~~~~~~^^^^^^^^^^^^^^^^
File "C:\Users\jiangping\AppData\Local\Programs\Python\Python313\Lib\ssl.py", line 1138, in read
return self._sslobj.read(len, buffer)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\cli\base_command.py", line 107, in _run_wrapper
status = _inner_run()
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\cli\base_command.py", line 98, in _inner_run
return self.run(options, args)
~~~~~~~~^^^^^^^^^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\cli\req_command.py", line 85, in wrapper
return func(self, options, args)
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\commands\install.py", line 388, in run
requirement_set = resolver.resolve(
reqs, check_supported_wheels=not options.target_dir
)
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\resolution\resolvelib\resolver.py", line 99, in resolve
result = self._result = resolver.resolve(
~~~~~~~~~~~~~~~~^
collected.requirements, max_rounds=limit_how_complex_resolution_can_be
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\resolvelib\resolvers\resolution.py", line 601, in resolve
state = resolution.resolve(requirements, max_rounds=max_rounds)
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\resolvelib\resolvers\resolution.py", line 513, in resolve
failure_criterion = self._attempt_to_pin_criterion(name)
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\resolvelib\resolvers\resolution.py", line 220, in _attempt_to_pin_criterion
criteria = self._get_updated_criteria(candidate)
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\resolvelib\resolvers\resolution.py", line 211, in _get_updated_criteria
self._add_to_criteria(criteria, requirement, parent=candidate)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\resolvelib\resolvers\resolution.py", line 150, in _add_to_criteria
if not criterion.candidates:
^^^^^^^^^^^^^^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\resolvelib\structs.py", line 194, in __bool__
return bool(self._sequence)
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 165, in __bool__
self._bool = any(self)
~~~^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 149, in <genexpr>
return (c for c in iterator if id(c) not in self._incompatible_ids)
^^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 39, in _iter_built
candidate = func()
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\resolution\resolvelib\factory.py", line 180, in _make_candidate_from_link
base: BaseCandidate | None = self._make_base_candidate_from_link(
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
link, template, name, version
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\resolution\resolvelib\factory.py", line 226, in _make_base_candidate_from_link
self._link_candidate_cache[link] = LinkCandidate(
~~~~~~~~~~~~~^
link,
^^^^^
...<3 lines>...
version=version,
^^^^^^^^^^^^^^^^
)
^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 318, in __init__
super().__init__(
~~~~~~~~~~~~~~~~^
link=link,
^^^^^^^^^^
...<4 lines>...
version=version,
^^^^^^^^^^^^^^^^
)
^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 161, in __init__
self.dist = self._prepare()
~~~~~~~~~~~~~^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 238, in _prepare
dist = self._prepare_distribution()
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 329, in _prepare_distribution
return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\operations\prepare.py", line 543, in prepare_linked_requirement
return self._prepare_linked_requirement(req, parallel_builds)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\operations\prepare.py", line 614, in _prepare_linked_requirement
local_file = unpack_url(
link,
...<4 lines>...
hashes,
)
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\operations\prepare.py", line 180, in unpack_url
file = get_http_url(
link,
...<2 lines>...
hashes=hashes,
)
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\operations\prepare.py", line 121, in get_http_url
from_path, content_type = download(link, temp_dir.path)
~~~~~~~~^^^^^^^^^^^^^^^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\network\download.py", line 197, in __call__
self._attempt_resumes_or_redownloads(download, resp)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\network\download.py", line 247, in _attempt_resumes_or_redownloads
self._process_response(download, resume_resp)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\network\download.py", line 212, in _process_response
for chunk in chunks:
^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\cli\progress_bars.py", line 67, in _rich_download_progress_bar
for chunk in iterable:
^^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_internal\network\utils.py", line 65, in response_chunks
for chunk in response.raw.stream(
~~~~~~~~~~~~~~~~~~~^
chunk_size,
^^^^^^^^^^^
...<22 lines>...
decode_content=False,
^^^^^^^^^^^^^^^^^^^^^
):
^
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 622, in stream
data = self.read(amt=amt, decode_content=decode_content)
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 560, in read
with self._error_catcher():
~~~~~~~~~~~~~~~~~~~^^
File "C:\Users\jiangping\AppData\Local\Programs\Python\Python313\Lib\contextlib.py", line 162, in __exit__
self.gen.throw(value)
~~~~~~~~~~~~~~^^^^^^^
File "D:\MyProjects\venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 455, in _error_catcher
raise ProtocolError("Connection broken: %r" % e, e)
pip._vendor.urllib3.exceptions.ProtocolError: ("Connection broken: ConnectionResetError(10054, '远程主机强迫关闭了一个现有的连接。', None, 10054, None)", ConnectionResetError(10054, '远程主机强迫关闭了一个现有的连接。', None, 10054, None))
(venv) D:\MyProjects>
(venv) D:\MyProjects>pip install anthropic
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)")': /simple/anthropic/
WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)")': /simple/anthropic/
Collecting anthropic
Downloading anthropic-0.76.0-py3-none-any.whl.metadata (28 kB)
Requirement already satisfied: anyio<5,>=3.5.0 in d:\myprojects\venv\lib\site-packages (from anthropic) (4.12.1)
Requirement already satisfied: distro<2,>=1.7.0 in d:\myprojects\venv\lib\site-packages (from anthropic) (1.9.0)
Collecting docstring-parser<1,>=0.15 (from anthropic)
Downloading docstring_parser-0.17.0-py3-none-any.whl.metadata (3.5 kB)
Requirement already satisfied: httpx<1,>=0.25.0 in d:\myprojects\venv\lib\site-packages (from anthropic) (0.28.1)
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)")': /simple/jiter/
Collecting jiter<1,>=0.4.0 (from anthropic)
Downloading jiter-0.12.0-cp313-cp313-win_amd64.whl.metadata (5.3 kB)
Requirement already satisfied: pydantic<3,>=1.9.0 in d:\myprojects\venv\lib\site-packages (from anthropic) (2.12.5)
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Requirement already satisfied: typing-inspection>=0.4.2 in d:\myprojects\venv\lib\site-packages (from pydantic<3,>=1.9.0->anthropic) (0.4.2)
Downloading anthropic-0.76.0-py3-none-any.whl (390 kB)
Downloading docstring_parser-0.17.0-py3-none-any.whl (36 kB)
Downloading jiter-0.12.0-cp313-cp313-win_amd64.whl (204 kB)
WARNING: Connection timed out while downloading.
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Downloading jiter-0.12.0-cp313-cp313-win_amd64.whl (204 kB)
WARNING: Connection timed out while downloading.
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WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out. (read timeout=15)")': /packages/c4/1f/30b0eb087045a0abe2a5c9c0c0c8da110875a1d3be83afd4a9a4e548be3c/jiter-0.12.0-cp313-cp313-win_amd64.whl
Downloading jiter-0.12.0-cp313-cp313-win_amd64.whl (204 kB)
Installing collected packages: jiter, docstring-parser, anthropic
Successfully installed anthropic-0.76.0 docstring-parser-0.17.0 jiter-0.12.0
(venv) D:\MyProjects>pip install langsmith
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)")': /simple/langsmith/
Collecting langsmith
Downloading langsmith-0.6.6-py3-none-any.whl.metadata (15 kB)
Requirement already satisfied: httpx<1,>=0.23.0 in d:\myprojects\venv\lib\site-packages (from langsmith) (0.28.1)
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)")': /simple/orjson/
Collecting orjson>=3.9.14 (from langsmith)
Using cached orjson-3.11.5-cp313-cp313-win_amd64.whl.metadata (42 kB)
Collecting packaging>=23.2 (from langsmith)
Downloading packaging-26.0-py3-none-any.whl.metadata (3.3 kB)
Requirement already satisfied: pydantic<3,>=2 in d:\myprojects\venv\lib\site-packages (from langsmith) (2.12.5)
Collecting requests-toolbelt>=1.0.0 (from langsmith)
Using cached requests_toolbelt-1.0.0-py2.py3-none-any.whl.metadata (14 kB)
Requirement already satisfied: requests>=2.0.0 in d:\myprojects\venv\lib\site-packages (from langsmith) (2.32.5)
Collecting uuid-utils<1.0,>=0.12.0 (from langsmith)
Downloading uuid_utils-0.14.0-cp39-abi3-win_amd64.whl.metadata (5.0 kB)
WARNING: Connection timed out while downloading.
WARNING: Attempting to resume incomplete download (0 bytes/5.0 kB, attempt 1)
Downloading uuid_utils-0.14.0-cp39-abi3-win_amd64.whl.metadata (5.0 kB)
Collecting zstandard>=0.23.0 (from langsmith)
Using cached zstandard-0.25.0-cp313-cp313-win_amd64.whl.metadata (3.3 kB)
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Downloading langsmith-0.6.6-py3-none-any.whl (308 kB)
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Downloading langsmith-0.6.6-py3-none-any.whl (308 kB)
Downloading uuid_utils-0.14.0-cp39-abi3-win_amd64.whl (182 kB)
Downloading orjson-3.11.5-cp313-cp313-win_amd64.whl (133 kB)
Downloading packaging-26.0-py3-none-any.whl (74 kB)
Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)
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WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out. (read timeout=15)")': /packages/3f/51/d4db610ef29373b879047326cbf6fa98b6c1969d6f6dc423279de2b1be2c/requests_toolbelt-1.0.0-py2.py3-none-any.whl
Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)
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Downloading requests_toolbelt-1.0.0-py2.py3-none-any.whl (54 kB)
Downloading zstandard-0.25.0-cp313-cp313-win_amd64.whl (506 kB)
Installing collected packages: zstandard, uuid-utils, packaging, orjson, requests-toolbelt, langsmith
Successfully installed langsmith-0.6.6 orjson-3.11.5 packaging-26.0 requests-toolbelt-1.0.0 uuid-utils-0.14.0 zstandard-0.25.0
(venv) D:\MyProjects>pip install streamlit
Collecting streamlit
Downloading streamlit-1.53.1-py3-none-any.whl.metadata (10 kB)
Collecting altair!=5.4.0,!=5.4.1,<7,>=4.0 (from streamlit)
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Downloading click-8.3.1-py3-none-any.whl.metadata (2.6 kB)
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Using cached numpy-2.4.1-cp313-cp313-win_amd64.whl.metadata (6.6 kB)
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Collecting protobuf<7,>=3.20 (from streamlit)
Downloading protobuf-6.33.4-cp310-abi3-win_amd64.whl.metadata (593 bytes)
INFO: pip is looking at multiple versions of streamlit to determine which version is compatible with other requirements. This could take a while.
Collecting streamlit
Downloading streamlit-1.53.0-py3-none-any.whl.metadata (10 kB)
Downloading streamlit-1.52.2-py3-none-any.whl.metadata (9.8 kB)
Downloading streamlit-1.52.1-py3-none-any.whl.metadata (9.8 kB)
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Downloading streamlit-1.51.0-py3-none-any.whl.metadata (9.5 kB)
Collecting altair!=5.4.0,!=5.4.1,<6,>=4.0 (from streamlit)
Downloading altair-5.5.0-py3-none-any.whl.metadata (11 kB)
Collecting packaging<26,>=20 (from streamlit)
Using cached packaging-25.0-py3-none-any.whl.metadata (3.3 kB)
Collecting streamlit
Downloading streamlit-1.50.0-py3-none-any.whl.metadata (9.5 kB)
Collecting pillow<12,>=7.1.0 (from streamlit)
Downloading pillow-11.3.0-cp313-cp313-win_amd64.whl.metadata (9.2 kB)
Collecting streamlit
Downloading streamlit-1.49.1-py3-none-any.whl.metadata (9.5 kB)
INFO: pip is still looking at multiple versions of streamlit to determine which version is compatible with other requirements. This could take a while.
Downloading streamlit-1.49.0-py3-none-any.whl.metadata (9.5 kB)
Downloading streamlit-1.48.1-py3-none-any.whl.metadata (9.5 kB)
Downloading streamlit-1.48.0-py3-none-any.whl.metadata (9.5 kB)
Downloading streamlit-1.47.1-py3-none-any.whl.metadata (9.0 kB)
Downloading streamlit-1.47.0-py3-none-any.whl.metadata (9.0 kB)
INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.
Downloading streamlit-1.46.1-py3-none-any.whl.metadata (9.0 kB)
Downloading streamlit-1.46.0-py3-none-any.whl.metadata (9.0 kB)
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Collecting streamlit
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Collecting streamlit
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Downloading streamlit-1.39.1-py2.py3-none-any.whl.metadata (8.6 kB)
Collecting pillow<11,>=7.1.0 (from streamlit)
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Collecting streamlit
Downloading streamlit-1.39.0-py2.py3-none-any.whl.metadata (8.5 kB)
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Downloading streamlit-1.36.0-py2.py3-none-any.whl.metadata (8.5 kB)
Downloading streamlit-1.35.0-py2.py3-none-any.whl.metadata (8.5 kB)
Collecting numpy<2,>=1.19.3 (from streamlit)
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ERROR: Could not install packages due to an OSError: [WinError 32] 另一个程序正在使用此文件,进程无法访问。: 'C:\\Users\\jiangping\\AppData\\Local\\Temp\\pip-unpack-chiy09jz\\numpy-1.26.4.tar.gz'
Check the permissions.
(venv) D:\MyProjects>pip install langchain
Collecting langchain
Downloading langchain-1.2.7-py3-none-any.whl.metadata (4.9 kB)
Collecting langchain-core<2.0.0,>=1.2.7 (from langchain)
Using cached langchain_core-1.2.7-py3-none-any.whl.metadata (3.7 kB)
Collecting langgraph<1.1.0,>=1.0.7 (from langchain)
Downloading langgraph-1.0.7-py3-none-any.whl.metadata (7.4 kB)
Requirement already satisfied: pydantic<3.0.0,>=2.7.4 in d:\myprojects\venv\lib\site-packages (from langchain) (2.12.5)
Collecting jsonpatch<2.0.0,>=1.33.0 (from langchain-core<2.0.0,>=1.2.7->langchain)
Using cached jsonpatch-1.33-py2.py3-none-any.whl.metadata (3.0 kB)
Requirement already satisfied: langsmith<1.0.0,>=0.3.45 in d:\myprojects\venv\lib\site-packages (from langchain-core<2.0.0,>=1.2.7->langchain) (0.6.6)
Collecting packaging<26.0.0,>=23.2.0 (from langchain-core<2.0.0,>=1.2.7->langchain)
Using cached packaging-25.0-py3-none-any.whl.metadata (3.3 kB)
Collecting pyyaml<7.0.0,>=5.3.0 (from langchain-core<2.0.0,>=1.2.7->langchain)
Using cached pyyaml-6.0.3-cp313-cp313-win_amd64.whl.metadata (2.4 kB)
Collecting tenacity!=8.4.0,<10.0.0,>=8.1.0 (from langchain-core<2.0.0,>=1.2.7->langchain)
Using cached tenacity-9.1.2-py3-none-any.whl.metadata (1.2 kB)
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Using cached jsonpointer-3.0.0-py2.py3-none-any.whl.metadata (2.3 kB)
Collecting langgraph-checkpoint<5.0.0,>=2.1.0 (from langgraph<1.1.0,>=1.0.7->langchain)
Using cached langgraph_checkpoint-4.0.0-py3-none-any.whl.metadata (4.9 kB)
Collecting langgraph-prebuilt<1.1.0,>=1.0.7 (from langgraph<1.1.0,>=1.0.7->langchain)
Downloading langgraph_prebuilt-1.0.7-py3-none-any.whl.metadata (5.2 kB)
Collecting langgraph-sdk<0.4.0,>=0.3.0 (from langgraph<1.1.0,>=1.0.7->langchain)
Using cached langgraph_sdk-0.3.3-py3-none-any.whl.metadata (1.6 kB)
Collecting xxhash>=3.5.0 (from langgraph<1.1.0,>=1.0.7->langchain)
Using cached xxhash-3.6.0-cp313-cp313-win_amd64.whl.metadata (13 kB)
Collecting ormsgpack>=1.12.0 (from langgraph-checkpoint<5.0.0,>=2.1.0->langgraph<1.1.0,>=1.0.7->langchain)
Downloading ormsgpack-1.12.2-cp313-cp313-win_amd64.whl.metadata (3.3 kB)
Requirement already satisfied: httpx>=0.25.2 in d:\myprojects\venv\lib\site-packages (from langgraph-sdk<0.4.0,>=0.3.0->langgraph<1.1.0,>=1.0.7->langchain) (0.28.1)
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Requirement already satisfied: requests-toolbelt>=1.0.0 in d:\myprojects\venv\lib\site-packages (from langsmith<1.0.0,>=0.3.45->langchain-core<2.0.0,>=1.2.7->langchain) (1.0.0)
Requirement already satisfied: requests>=2.0.0 in d:\myprojects\venv\lib\site-packages (from langsmith<1.0.0,>=0.3.45->langchain-core<2.0.0,>=1.2.7->langchain) (2.32.5)
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Installing collected packages: xxhash, tenacity, pyyaml, packaging, ormsgpack, jsonpointer, jsonpatch, langgraph-sdk, langchain-core, langgraph-checkpoint, langgraph-prebuilt, langgraph, langchain
Attempting uninstall: packaging
Found existing installation: packaging 26.0
Uninstalling packaging-26.0:
Successfully uninstalled packaging-26.0
Successfully installed jsonpatch-1.33 jsonpointer-3.0.0 langchain-1.2.7 langchain-core-1.2.7 langgraph-1.0.7 langgraph-checkpoint-4.0.0 langgraph-prebuilt-1.0.7 langgraph-sdk-0.3.3 ormsgpack-1.12.2 packaging-25.0 pyyaml-6.0.3 tenacity-9.1.2 xxhash-3.6.0
(venv) D:\MyProjects>
步骤 6:验证安装
- 创建测试文件
python
# test_installation.py
import sys
def check_installation():
try:
import langchain
print(f"✅ LangChain 版本: {langchain.__version__}")
import openai
print("✅ OpenAI 已安装")
import chromadb
print("✅ ChromaDB 已安装")
print("\n✅ 所有包安装成功!")
return True
except ImportError as e:
print(f"❌ 导入失败: {e}")
return False
if __name__ == "__main__":
check_installation()
运行测试
bash
python test_installation.py
3. 配置开发环境
Visual Studio Code 配置
-
安装 VS Code
-
推荐扩展
-
Python
-
Jupyter
-
Pylance
-
GitLens
-
Code Runner
-
-
配置 Python 解释器
-
按
Ctrl+Shift+P -
输入 "Python: Select Interpreter"
-
选择虚拟环境中的 Python 路径
-
配置环境变量
- 创建 .env 文件
XML
# .env
OPENAI_API_KEY=your_openai_api_key_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
GOOGLE_API_KEY=your_google_api_key_here
# LangSmith(可选)
LANGCHAIN_API_KEY=your_langsmith_api_key
LANGCHAIN_TRACING_V2=true
LANGCHAIN_PROJECT=your_project_name
2. 加载环境变量
python
# 在 Python 代码中
from dotenv import load_dotenv
load_dotenv()
4. 常见问题解决
问题 1:pip 安装速度慢
bash
# 使用国内镜像源
pip install langchain -i https://pypi.tuna.tsinghua.edu.cn/simple
# 或永久配置
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
问题 2:权限错误
bash
# 使用管理员权限运行 PowerShell
# 或使用用户安装
pip install --user langchain
问题 3:依赖冲突
bash
# 创建新的干净虚拟环境
python -m venv new_venv
new_venv\Scripts\activate
pip install langchain
问题 4:C++ 编译错误(某些包需要)
bash
# 安装 Visual C++ Build Tools
# 下载地址:https://visualstudio.microsoft.com/visual-cpp-build-tools/
5. 快速测试示例
创建一个简单的 LangChain 应用:
python
# quick_test.py
from langchain.llms import OpenAI
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain
import os
from dotenv import load_dotenv
# 加载环境变量
load_dotenv()
# 检查 API 密钥
if not os.getenv("OPENAI_API_KEY"):
print("⚠️ 请先设置 OPENAI_API_KEY 环境变量")
print("在 .env 文件中添加:OPENAI_API_KEY=your_key_here")
else:
# 初始化 LLM
llm = OpenAI(temperature=0.7)
# 创建模板
template = """
请用中文回答以下问题:
问题:{question}
回答:
"""
prompt = PromptTemplate(
input_variables=["question"],
template=template
)
# 创建链
chain = LLMChain(llm=llm, prompt=prompt)
# 运行链
question = "LangChain 是什么?"
response = chain.run(question)
print(f"问题:{question}")
print(f"回答:{response}")
运行测试:
bash
python quick_test.py
6. 下一步
现在你已经成功安装了 LangChain,接下来可以:
-
学习 LangChain 核心概念(Chains, Agents, Memory 等)
-
尝试不同的 LLM 提供商
-
构建你的第一个 LangChain 应用
-
学习如何使用向量数据库和 RAG